Enterprise Client | 2026 – Present Key Technologies: AI Engineering, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Document Intelligence, Prompt Engineering, .NET, C#, React, Microsoft Azure, Azure Logic Apps, Azure Cosmos DB Overview: Keyhole Software partnered with an enterprise client to develop an AI-powered document intelligence and regulatory compliance platform for organizations operating in highly regulated industries. Built using .NET, …
Case Study: Modernizing Legacy COBOL Batch Processing for a Leading Food Wholesaler
Keyhole Software successfully modernized a legacy COBOL batch processing system, addressing inefficiencies and integration challenges through an AI-optimized POC. Keyhole accelerated development efforts by 20-30% leveraging AI-driven tools in the migration from COBOL to Spring Batch, enhancing scalability, maintainability, and cloud-native capabilities for the client’s system. Download the case study –
Secure, Enterprise-Ready AI Assistant for IT Teams
EnterpriseGPT is a proprietary web application developed by Keyhole Software that provides a customizable, secure AI chatbot experience tailored for enterprise IT organizations. Built to work with OpenAI’s GPT-3.5 and GPT-4.0 APIs, EnterpriseGPT enables teams to harness the power of large language models while maintaining strict control over sensitive data and internal code.
This purpose-built solution showcases Keyhole Software’s deep expertise in secure AI integration, modern application architecture, and enterprise-scale deployments.
Keyhole Software is supporting a client in the engineering and infrastructure sector with a custom platform designed to automate and streamline customer service operations. A two-person Keyhole team led the architecture and delivery of a real-time service portal, enabling operational insights for existing clients and generating new revenue opportunities. Key challenge: Integrating disparate data sources while maintaining a flexible data …
Keyhole Software provided comprehensive solutions through architecture design, frontend and backend development, and deployment strategies. Using a combination of Java, Node.js, React, MaterialUI, MobX, and DB2, the team created an efficient, scalable, and reusable system that streamlined transaction management and enhanced user experience. The solution was designed to support the client’s growth, improve operational efficiency, and be easily extended across …